O'Reilly Media - Ideas

JANUARY 29, 2019

In other words, could we see a roadmap for transitioning from legacy cases (perhaps some business intelligence) toward data science practices, and from there into the tooling required for more substantial AI adoption? We found that users of AWS, Microsoft Azure, and Google Cloud Platform (GCP) tended to use multiple cloud providers.

Sustainability 87

Sustainability Company Machine Learning Artificial Inteligence 87

Openxcell

JANUARY 6, 2023

Instead of making substantial investments in databases, software, and hardware, businesses prefer to access their computing power over the internet or in the cloud. Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Microsoft Azure.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Apiumhub

MARCH 16, 2021

With more and more data available, it’s getting more difficult to focus on the information we really need and present it in an actionable way and that’s what business intelligence is all about. In this article we will talk about Business Intelligence tools, benefits & use cases. . What is Business Intelligence.

Business Intelligence 117

Business Intelligence Tools Artificial Inteligence Technical Review 117

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive.

Software Review 94

Software Review Technical Review Software Development Team Review 94

CIO

AUGUST 18, 2022

To find out, he queried Walgreens’ data lakehouse, implemented with Databricks technology on Microsoft Azure. “We Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. We leveraged the lakehouse to understand the moment,” the CIO says.

Data 350

Data Artificial Inteligence Technical Advisors Technical Review 350

Cloudera

SEPTEMBER 12, 2018

The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. It was deeply gratifying to see so many organizations deploying the tools and techniques of data science and advanced analytics to solve difficult and important problems.

Artificial Inteligence 44

Artificial Inteligence Data Machine Learning Pharmaceuticals 44

InfoWorld

FEBRUARY 9, 2024

Microsoft Fabric is an end-to-end, software-as-a-service (SaaS) platform for data analytics. It is built around a data lake called OneLake, and brings together new and existing components from Microsoft Power BI, Azure Synapse, and Azure Data Factory into a single integrated environment. As of this writing, Fabric is in preview.

Big Data 98

Big Data Azure Google Cloud Data 98

Datavail

JUNE 15, 2023

The Microsoft Fabric announcement at Microsoft Build 2023 has caused quite a stir in the data and analytics world. Microsoft Fabric is an all-in-one analytics solution that brings together seven Azure services on a shared SaaS foundation, in a unified experience combined with AI. What is Microsoft Fabric?

Azure 52

Azure Analytics Storage Generative AI 52

Perficient

APRIL 2, 2023

Alteryx: A Comprehensive Overview Alteryx is a leading data analytics platform that helps businesses and organizations of all sizes to turn raw data into actionable insights. This comprehensive platform includes data preparation, blending, and analytics capabilities, along with tools for data governance, collaboration, and automation.

Analytics 64

Analytics Artificial Inteligence Data Artificial Intelligence 64

DataRobot

SEPTEMBER 6, 2022

At the 2022 Gartner Data and Analytics Summit, data leaders learned the latest insights and trends. Data Analysis Must Include Business Value. To drive business value and successfully apply AI , it’s critical that members of data and analytics teams clearly articulate the underlying business value. Request a Demo.

Artificial Inteligence 52

Artificial Inteligence Analytics Data Machine Learning 52

Cloudera

JANUARY 21, 2021

While cloud-native, point-solution data warehouse services may serve your immediate business needs, there are dangers to the corporation as a whole when you do your own IT this way. You already know that a distributed environment is much tougher for your company to manage, secure, and govern. Central control of security and governance.

Analytics 93

Analytics Storage Technical Review Virtualization 93

Datavail

JUNE 8, 2023

From the technical possibilities and challenges of new and emerging technologies to using Big Data for business intelligence, analytics, and other business strategies, this event had something for everyone. He highlighted how customers can benefit from a move to cloud-native databases like those offered by AWS and Azure.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Datavail

AUGUST 6, 2020

Analytics is the process of turning raw data into valuable business insights through quantitative and statistical methods. There are three ways of classifying business analytics methods according to their use case: Descriptive methods examine historical data to identify meaningful trends and patterns.

Analytics 52

Analytics Cloud Disaster Recovery Business Analytics 52

Altexsoft

SEPTEMBER 21, 2023

What if we told you that one of the world’s most powerful search and analytics engines started with the humble goal of organizing a culinary enthusiast’s growing list of recipes? First publicly introduced in 2010, Elasticsearch is an advanced, open-source search and analytics engine that also functions as a NoSQL database.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Protera

MAY 23, 2023

Strong governance frameworks are essential both during and after your migration. There are several quality cloud providers on the market, but you want to choose the one that best aligns with your unique business requirements and objectives. Testing is a must — it should be done at every phase of the cloud migration journey.

Cloud 52

Cloud Testing Data Center Systems Review 52

ParkMyCloud

MAY 29, 2019

In addition, they also have a strong knowledge of cloud services such as AWS, Google or Azure, with experience on ITSM, I&O, governance, automation, and vendor management. Business Intelligence Analyst. Here at ParkMyCloud, we talk to a lot of Cloud Architects! IoT Engineer.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Openxcell

AUGUST 28, 2023

Enterprise Application is an expansive software application meticulously designed and leveraged by government or business organizations in the corporate eco-system. Applying enterprise applications serves as a cornerstone to streamline business processes, elevating efficiency and preventing mishaps in business operations.

Enterprise 52

Enterprise Applications Development Software Review 52

Altexsoft

JULY 19, 2022

They also own the governance of their domain. federated computation governance. The main idea of the data mesh approach is that you divide the big business picture into manageable units (domains) with different teams working on them separately. But not only. So, to avoid any confusion, please be aware that data mesh is NOT.

Architecture 52

Architecture Data Analytics Data Engineering 52

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Hybrid and multi-cloud also provide flexible data management, governance, compliance, availability, and durability. Operational policies and methods are different and aggregation of data across multiple clouds boundaries makes it difficult for governance, analytics, and business intelligence.

Cloud 49

Cloud AWS Azure Data Center 49

Altexsoft

OCTOBER 2, 2020

Companies acquire data from multiple sources — manual entries, IoT devices, payment processors, CRMs, CMSs, eCommerce platforms, web and mobile analytics tools, social media. Without this part, it’s impossible to obtain accurate analytical results and extract valuable business insights. backups to prevent data loss.

Database Administration 64

Database Administration Strategy Data Technical Review 64

DataRobot

SEPTEMBER 14, 2021

Now, data scientists , analytics experts , business users , and IT teams can collaborate in a single, unified platform. Ensuring you can harness the power of your data, wherever it lives, you can implement DataRobot with major cloud providers including AWS , Google Cloud , and Azure.

Data Center 52

Data Center Cloud Google Cloud Analytics 52

Altexsoft

APRIL 26, 2022

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. within a single, centralized location for analytics and reporting. Source: Snowflake.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

SEPTEMBER 23, 2021

Yet, more than often, businesses can’t make use of their most valuable asset — information. Because it is scattered across disparate systems, hardly available for analytical apps. A data hub serves as a single point of access for all data consumers, whether it be an application, a data scientist, or a business user.

Architecture 52

Architecture Data Storage IoT 52

Altexsoft

NOVEMBER 10, 2021

This enables different teams to use a single system to access all of the enterprise data for a range of projects, including data science, machine learning, and business intelligence. Issues with data security and governance. Schema enforcement and data governance. Business intelligence support.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

JULY 29, 2022

Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics. According to the study by the Business Application Research Center (BARC), Hadoop found intensive use as. Hadoop 3 expanded this list with Microsoft Azure Data Lake and Aliyun Object Storage System.

Big Data 59

Big Data Data Google Cloud Storage 59

Cloudera

OCTOBER 26, 2017

Become more agile with business intelligence and data analytics. Business intelligence (BI) and analytics in the cloud is an area that has gained the attention of many organizations looking to provide a better user experience for their data analysts and engineers. Published originally on O’Reilly.com.

Cloud 42

Cloud Data Storage Analytics 42

Altexsoft

OCTOBER 8, 2021

A single analytical report will require logging into numerous accounts, searching for specific pieces of data, copying them, perhaps cleaning some items, and converting data into a fitting form, all before any analysis happens. The platform’s main capabilities comprise data integration, data quality assurance, and data governance.

Tools 52

Tools Data Software Review Open Source 52

Existek

JANUARY 27, 2023

Analytics and business intelligence (BI) systems are commonly used in the financial services industry to analyze large amounts of data and generate insights for informed business decisions. BI systems can be used to create reports and visualizations, such as charts and graphs, that make it easy to understand complex data.

Software Development 52

Software Development Trends Technology Software 52

Altexsoft

JUNE 20, 2019

Also, DBMS comprises the key instruments to govern the database. Also, consider applying MySQL for the same reason if you’re building a business intelligence tool. If you are building a database automation tool, PostgreSQL is the best fit for it due to its strong analytical capabilities, ACID-compliance, and powerful SQL engine.

Systems Review 85

Systems Review System Software Review Open Source 85

Sunflower Lab

APRIL 2, 2024

Imagine a business world where your decisions are not just guided by past data, they are turbo-charged by insights that peer into the future, giving you a strategic advantage that feels almost unfair. That’s where predictive analytics with Power BI swoops in, taking center stage as a game-changer for CEO decision-making.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40

Altexsoft

OCTOBER 17, 2019

Low-quality data can also impede and slow down the integration of business intelligence and ML-powered predictive analytics. Data quality is one of the aspects of data governance that aims at managing data in a way to gain the greatest value from it. Source: Business Intelligence.

Tools 16

Tools Data Technical Advisors Technical Review 16

Altexsoft

SEPTEMBER 19, 2019

That’s what business intelligence (BI) is about. What is business intelligence and what tools does it need? Business intelligence is a process of accessing, collecting, transforming, and analyzing data to reveal knowledge about company performance. Flow of data and ETL. You aim to build custom BI.

Business Intelligence 13

Business Intelligence Tools Data Azure 13

Cloudera

JUNE 16, 2022

The ability to perform analytics on data as it is created and collected (a.k.a. Over the last seven years, Cloudera’s Stream Processing product has evolved to meet the changing streaming analytics needs of our 700+ enterprise customers and their diverse use cases. Faster ingestion was needed to reduce overall analytics latency. .

Data 84

Data Disaster Recovery Analytics Microservices 84

Altexsoft

MARCH 30, 2023

Along with thousands of other data-driven organizations from different industries, the above-mentioned leaders opted for Databrick to guide strategic business decisions. What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64